Hotel Recommendation based on Review Analysis by Considering Tourism Needs

Yuanyuan Wang
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引用次数: 2

Abstract

Nowadays, people often use sightseeing sites on the Web as a means of gaining information on travel destinations to make travel plans by a comprehensive judgment of information such as users’ reviews and ratings. However, this information is limited to either tourist spots or hotel facilities, and it does not consider the relationships between them. In addition, sightseeing sites such as Tripadvisor and Yahoo! Travel, provide hotel facility rankings based on popularity or rating, they are not considering complaints about hotel facilities or tourism needs. In this work, we focus on the relationships between tourist spots and hotel facilities and extract the relationships between tourist spots and hotel facilities based on location information, the reviews and ratings of hotel facilities, and the physical distance between the tourist spot and each hotel facility. Therefore, we propose a method to recommend users with a ranking of the most suitable hotel facilities for a certain tourist spot, to support efficient travel planning. It allows users to detect hotel facilities in the surroundings while searching for tourist spots. Finally, we compared the distance calculation methods and evaluated the usefulness of our proposed hotel facility recommendation method by a questionnaire survey.
基于旅游需求评价分析的酒店推荐
现在,人们经常使用网络上的观光网站作为获取旅游目的地信息的一种手段,通过对用户评论、评分等信息的综合判断来制定旅游计划。然而,这些信息仅限于旅游景点或酒店设施,并没有考虑它们之间的关系。此外,观光网站如Tripadvisor和Yahoo!旅游时,根据酒店设施的受欢迎程度或评级提供排名,他们不会考虑对酒店设施的投诉或旅游需求。在这项工作中,我们重点研究了旅游景点与酒店设施之间的关系,并基于位置信息、酒店设施的评论和评级以及旅游景点与每个酒店设施之间的物理距离提取了旅游景点与酒店设施之间的关系。因此,我们提出了一种方法,通过对某个旅游景点最适合的酒店设施进行排名,向用户推荐,以支持高效的旅行规划。它允许用户在搜索旅游景点的同时检测周围的酒店设施。最后,我们比较了距离计算方法,并通过问卷调查评估了我们提出的酒店设施推荐方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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